Skip to main content

Scandinavian Embedding Benchmark

Project description

Scandinavian Embedding Benchmark

PyPI Python Version documentation Tests Black

A benchmark for evaluating sentence/document embeddings of Scandinavian language models.

Installation

You can install the Scandinavian Embedding Benchmark (seb) via pip from PyPI:

pip install seb

To see more examples, see the documentation.

📖 Documentation

Documentation
🔧 Installation Installation instructions on how to install this package
👩‍💻 Usage Introduction on how to use the package
📖 Documentation A minimal and developing documentation

💬 Where to ask questions

Type
🚨 Bug Reports GitHub Issue Tracker
🎁 Feature Requests & Ideas GitHub Issue Tracker
👩‍💻 Usage Questions GitHub Discussions
🗯 General Discussion GitHub Discussions

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

seb-0.1.5.tar.gz (1.7 MB view details)

Uploaded Source

Built Distribution

seb-0.1.5-py3-none-any.whl (14.5 kB view details)

Uploaded Python 3

File details

Details for the file seb-0.1.5.tar.gz.

File metadata

  • Download URL: seb-0.1.5.tar.gz
  • Upload date:
  • Size: 1.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for seb-0.1.5.tar.gz
Algorithm Hash digest
SHA256 16ba0dde9a36eabccd02c92e13b0bcc910ba441b575fc899f4530d7d67e511f6
MD5 588f3d55c6979e87d175a9cd8a5e02e7
BLAKE2b-256 a98cef90ab3afc54a11b8d0ba6cb4bb4a62f4729ccb5681cadae24eea58ea162

See more details on using hashes here.

File details

Details for the file seb-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: seb-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 14.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for seb-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 8e7637585f0044139804810ac9e8fb73e6cc8397c2d59426704ad211d239d323
MD5 2e6d5c431fee669091e466b70496a66e
BLAKE2b-256 8cb8a5048df74a93a4f1b16b9ea2c473fae1df9732142d9588c0c92fe0dc45d3

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page